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Artem Agafonov
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2020 – today
- 2024
- [j2]Artem Agafonov, Dmitry Kamzolov
, Pavel E. Dvurechensky
, Alexander V. Gasnikov, Martin Takác
:
Inexact tensor methods and their application to stochastic convex optimization. Optim. Methods Softw. 39(1): 42-83 (2024) - [c3]Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác:
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR 2024 - 2023
- [i2]Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác:
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. CoRR abs/2301.00524 (2023) - 2022
- [i1]Artem Agafonov, Brahim Erraji, Martin Takác:
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences. CoRR abs/2210.09626 (2022) - 2021
- [j1]Fedor S. Stonyakin
, Alexander Tyurin
, Alexander V. Gasnikov
, Pavel E. Dvurechensky
, Artem Agafonov
, Darina Dvinskikh
, Mohammad S. Alkousa
, Dmitry Pasechnyuk
, Sergei Artamonov
, Victoria V. Piskunova:
Inexact model: a framework for optimization and variational inequalities. Optim. Methods Softw. 36(6): 1155-1201 (2021) - [c2]Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov
, Aleksandr Lukashevich, Amir Daneshmand:
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC 2021: 2407-2413
2010 – 2019
- 2019
- [c1]Fedor S. Stonyakin
, Darina Dvinskikh
, Pavel E. Dvurechensky
, Alexey Kroshnin
, Olesya Kuznetsova
, Artem Agafonov
, Alexander V. Gasnikov
, Alexander Tyurin
, César A. Uribe
, Dmitry Pasechnyuk
, Sergei Artamonov
:
Gradient Methods for Problems with Inexact Model of the Objective. MOTOR 2019: 97-114
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last updated on 2024-08-27 22:58 CEST by the dblp team
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